Data Science and Digital Business

Abstract

This book chapter applies data science methods to analyze storm surge induced flood risks along the Mississippi Gulf Coast by presenting the spatial risk distribution of the study area using the Geographic Information System (GIS) based visualization and quantifying the flood risk in statistical relationships with the risk related factors using multiple linear regression analysis models. The data are retrieved and visualized for the residential blocks. The maximum surge elevation data are collected and validated against representative historical hurricane wind and storm surge data recorded by the Federal Emergency Management Agency (FEMA) and National Hurricane Center (NHC). The maximum surge height above the land surface is calculated based on the elevations and tide level in the Mississippi Gulf Coast Basin. The statistics models using the multiple regression analysis method characterize the significant relationships among these risk related variables. The direct loss coverage can be estimated using the models.